933 resultados para classificação de touro


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INTRODUÇÃO: as oclusopatias estão entre os principais problemas de saúde bucal em todo o mundo, juntamente com a cárie dentária e a doença periodontal, e vários índices têm sido utilizados para registrá-las. OBJETIVOS: verificar a prevalência de oclusopatias utilizando a Classificação de Angle e o Índice de Estética Dentária (DAI), sua severidade e a necessidade de tratamento ortodôntico registradas pelo DAI, e comparar os resultados de ambos os índices, visando correlacionar o padrão dos dados coletados e a viabilidade de utilizá-los de forma conjunta. MÉTODOS: a amostra consistiu de 734 escolares com idade de 12 anos, de ambos os sexos, da rede pública do município de Lins/SP. Foram realizados exames nos pátios das escolas com utilização de sondas IPC a olho nu. RESULTADOS: pela Classificação de Angle, encontrou-se 33,24% das crianças com oclusão normal e 66,76% com má oclusão. Pelo DAI, observou-se que 65,26% das crianças apresentavam-se sem anormalidades ou com más oclusões leves. A má oclusão definida esteve presente em 12,81%, a má oclusão severa foi observada em 10,90% e a muito severa ou incapacitante em 11,03%. A maioria das crianças (70,57%) apresentou relação molar normal, e o overjet maxilar anterior foi a alteração mais frequentemente observada. No cruzamento dos índices houve semelhanças e divergências. CONCLUSÃO: o DAI não foi sensível a alguns problemas de oclusão detectados pela Classificação de Angle, e a recíproca foi verdadeira, demonstrando que ambos os índices possuem pontos distintos na detecção das oclusopatias, podendo ser utilizados de forma reciprocamente complementar.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Engenharia Elétrica - FEIS

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Pós-graduação em Engenharia Mecânica - FEG

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The main disturbs affecting the genital segment of bulls are balanitis, phimosis and preputial injuries, abscesses or prolapses, resulting in decreased libido or mating ability. One case of traumatic phimosis with partial obliteration of preputial lumen is reported in Aberdeen Angus bull. During anamnesis, it was reported that the animal was unable to expose the penis and presented increased penile and preputial volume of unknown etiology after being submitted to a libido test. During clinical examination, a firm preputial mass of 15 cm in diameter was observed in the middle third of the prepuce and stenosis of preputial lumen was detected approximately 17 cm from the preputial orifice. Reconstructive surgery was the chosen therapy, with amputation of the affected foreskin portion. A skin segment of about 12 cm and affected mucosal portion were removed. Postoperative therapy consisted of dressing with chlorhexidine digluconate based ointment, povidone iodine and topical insect repellent (cypermethrin and carbamyl), systemic antibiotic therapy with benzathine penicillin (30,000 IU / kg, repeated after 48 hours) and anti-inflammatory therapy with flunixin meglumine (2 , 0 mg / kg SID) for three days. After twenty days, semen was collected by massage of the accessory glands. The ejaculate volume was 3 mL, with 200x106 spermatozoa / mL, white color, "suis generis" odor, 88% of motile sperm, 64% of progressively motile sperm and 82% of rapid sperm. Thus, the chosen surgical treatment was effective to correct the pathology and reintroduce the animal into reproductive activity

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Knowing the annual climatic conditions is of great importance for appropriate planning in agriculture. However, the systems of climatic classification are not widely used in agricultural studies because of the wide range of scales in which they are used. A series with data from 20 years of observations from 45 climatological stations in all over the state of Pernambuco was used. The probability density function of the incomplete gamma distribution was used to evaluate the occurrence of dry, regular and rainy years. The monthly climatic water balance was estimated using the Thornthwaite and Mather method (1955), and based on those findings, the climatic classifications were performed using the Thornthwaite (1948) and Thornthwaite and Mather (1955) for each site. The method of Kriging interpolation was used for the spatialization of the results. The study classifications were very sensitive to the local reliefs, to the amount of rainfall, and to the temperatures of the regions resulting in a wide number of climatic types. The climatic classification system of Thornthwaite and Mather (1955) allowed efficient classification of climates and a clearer summary of the information provided. In so doing, it demonstrated its capability to determine agro climatic zones.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)